西部测图移动应急安全自救保障系统研究

移动应急安全自救保障系统是整个"西部测图工程"安全保障体系建设中的最重要组成部分。本文从"西部测图"移动应急安全自救保障建设实际需求出发,结合当前PDA硬件资源的特点,在分析测区作业特点的基础上探讨了系统建设的整体架构以及系统建设的需求特征,并详细阐述了系统的数据组织结构模型,最后给出了系统的相关功能实现和应用。     

运用RS、GPS和GIS技术进行大比例尺土地利用动态监测的实验研究

土地利用数据的更新是土地管理工作的重要内容之一。依靠常规的手段不仅更新速度慢、难以主动发现变化区域,而且成图周期长、误差大。依靠遥感（RS）手段可以主动快速地发现变化区域,运用差分GPS技术可以精确获取土地利用变化的数量和性质,GIS则是管理土地利用的图形数据和属性数据（如土地利用类型、权属、图斑号等）的有效工具。基于RS、GIS和GPS的集成技术建立面向工程目标的土地利用动态监测新方法是本文研究的内容。     

车载LiDAR移动测量系统在城市部件采集的应用

随着数字化、信息化的发展,城市部件作为城市建设、社会发展的重要载体,对智慧城市和数字城管具有重大作用.城市建设面积不断扩大,城市部件采集与管理工作压力日益增加.车载LiDAR移动测量系统作为新兴技术,近年来快速发展,将此技术应用到城市部件采集工作中,使得采集效率、安全性、精度均有较大提升.提出一套基于车载LiDAR移动...     

澳门路环地区地磁场的环境及近期变化

2002年5月,对澳门路环岛地区及相邻珠海横琴岛的地磁流动观测网的25个测点进行了地磁场总强度(F)的观测。同时还进行了地磁环境噪音的测量及十字剖面测量。2003年1月,对此流动观测网进行了复测。尽管该地区四周邻海,存在相当数量的干扰因素。但两次观测结果经通化处理后表明大多数测点的地磁场总强度的变化不大,变化量在1～2nT左右。两次观测结果的总体均方差为2．8nT。     

1992-2014年河北省流动重力资料整理

系统整理河北省1992-2014年流动重力资料,利用LGADJ数据处理软件,对每期重力数据进行单期平差、多期整体平差计算,改正历史遗留问题,利用差分结果绘制145幅流动重力等值线差分图,通过具体异常点位及重力变化分析,得出：①地震前重力场变化强度与震级大小存在相关性;②流动重力观测资料地震前具有较为明显的前兆异常反应;③地震均发生在重力变化的“0”等值线附近地区。     

APPLICATION OF UAVLS TO RAPID GEOLOGICAL SURVEYS

Three-dimensional scanning with LiDAR has been widely used in geological surveys. The LiDAR with high accuracy is promoting geoscience quantification. And it will be much more convenient, efficient and useful when combining it with the Unmanned Aerial Vehicle (UAV). This study focuses on UAV-based Laser Scanning (UAVLS)geological field mapping, taking two examples to present advantages of the UAVLS in contrast with other mapping methods. For its usage in active fault mapping, we scanned the Nanpo village site on the Zhangxian segment of the West Qinling north-edge fault. It effectively removed the effects of buildings and vegetation, and uncovered the fault trace. We measured vertical offset of 1.3m on the terrace T₁ at the Zhang river. Moreover, we also scanned landslide features at the geological hazard observatory of Lanzhou University in the loess area. The scanning data can help understand how micro-topography affects activation of loess landslides. The UAVLS is time saving in the field, only spending about half an hour to scan each site. The amount of average points per meter is about 600, which can offer topography data with resolution of centimeter. The results of this study show that the UAVLS is expected to become a common, efficient and economic mapping tool.     

Controls on the occurrence and prevalence of floodplain channels in meandering rivers

The process of channelization on river floodplains plays an essential role in regulating river sinuosity and creating river avulsions. Most channelization occurs within the channel belt (e.g. chute channels), but growing evidence suggests some channels originate outside of the channel‐belt in the floodplain. To understand the occurrence and prevalence of these floodplain channels we mapped 3064 km² of floodplain in Indiana, USA using 1.5 m resolution digital elevation models (DEMs) derived from airborne light detection and ranging (LiDAR) data. We find the following range of channelization types on floodplains in Indiana: 6.8% of floodplain area has no evidence of channelization, 55.9% of floodplains show evidence (e.g. oxbow lakes) of chute‐channel activity in the channel belt, and 37.3% of floodplains contain floodplain channels that form long, coherent down‐valley pathways with bifurcations and confluences, and they are active only during overbank discharge. Whereas the first two types of floodplains are relatively well studied, only a few studies have recognized the existence of floodplain channels. To understand why floodplain channels occur, we compared the presence of channelization types with measured floodplain width, floodplain slope, river width, river meander rate, sinuosity, flooding frequency, soil composition, and land cover. Results show floodplain channels occur when the fluvial systems are characterized by large floodplain‐to‐river widths, relatively higher meandering rates, and are dominantly used for agriculture. More detailed reach‐scale mapping reveals that up to 75% of channel reaches within floodplain channels are likely paleo‐meander cutoffs. The meander cutoffs are connected by secondary channels to form floodplain channels. We suggest that secondary channels within floodplains form by differential erosion across the floodplain, linking together pre‐existing topographic lows, such as meander cutoffs. Copyright © 2016 John Wiley & Sons, Ltd.     

Modelling soil moisture in a high‐latitude landscape using LiDAR and soil data

Soil moisture has a pronounced effect on earth surface processes. Global soil moisture is strongly driven by climate, whereas at finer scales, the role of non‐climatic drivers becomes more important. We provide insights into the significance of soil and land surface properties in landscape‐scale soil moisture variation by utilizing high‐resolution light detection and ranging (LiDAR) data and extensive field investigations. The data consist of 1200 study plots located in a high‐latitude landscape of mountain tundra in north‐western Finland. We measured the plots three times during growing season 2016 with a hand‐held time‐domain reflectometry sensor. To model soil moisture and its temporal variation, we used four statistical modelling methods: generalized linear models, generalized additive models, boosted regression trees, and random forests. The model fit of the soil moisture models were R² = 0.60 and root mean square error (RMSE) 8.04 VWC% on average, while the temporal variation models showed a lower fit of R² = 0.25 and RMSE 13.11 CV%. The predictive performances for the former were R² = 0.47 and RMSE 9.34 VWC%, and for the latter R² = 0.01 and RMSE 15.29 CV%. Results were similar across the modelling methods, demonstrating a consistent pattern. Soil moisture and its temporal variation showed strong heterogeneity over short distances; therefore, soil moisture modelling benefits from high‐resolution predictors, such as LiDAR based variables. In the soil moisture models, the strongest predictor was SAGA (System for Automated Geoscientific Analyses) wetness index (SWI), based on a 1 m² digital terrain model derived from LiDAR data, which outperformed soil predictors. Thus, our study supports the use of LiDAR based SWI in explaining fine‐scale soil moisture variation. In the temporal variation models, the strongest predictor was the field‐quantified organic layer depth variable. Our results show that spatial soil moisture predictions can be based on soil and land surface properties, yet the temporal models require further investigation. Copyright © 2017 John Wiley & Sons, Ltd.     

自适应移动盒子的机载LiDAR点云去噪算法

针对现有LiDAR点云去噪算法难以实现自适应的问题,该文提出了基于空间盒子结构的自适应移动盒子去噪算法。基于经验模型建立盒子自适应准则,较好规避了现有算法的去噪阈值确定问题;采用聚类分析实现噪声点与有效点的精确标示。基于不同类型噪声的点云数据实验结果表明:与现有去噪算法相比,基于自适应移动盒子的去噪算法具有更好的适应性和去噪效果。     

LiDAR与GIS技术在城市排水中的应用

针对城市由于短时较大降雨而使道路大量积水的内涝问题,利用LiDAR和GIS技术,根据排水动力模型,设计了较为完善的解决方案.